ABOUT THE TENSIXTEEN BIO

TenSixteen is the first company to leverage somatic mosaicism and clonal hematopoiesis of indeterminate potential (CHIP) to discover and develop novel therapeutics to treat age-related diseases. We are a precision platform therapeutics company utilizing novel genomic biology across multiple disease areas. TenSixteen was conceived around the promise of leveraging unique data assets and capabilities to drive discovery and novel clinical development paradigms, and we are building a genomics and data science platform that will enable data integration and generation to support these efforts. We aim to transform the future of precision medicine in complex diseases.

ROLE

Our Genomics team applies insights from population-scale studies of human genetics to solve unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities.  

We are looking for a clinical bioinformatics scientist with experience in ingestion, harmonization, and research use of large EHR-based clinical datasets. The ideal candidate has experience with collaborative research and rigorous pipeline development. We offer a flexible work environment, a diverse set of projects, and a best-in-class peer group to learn from. This is a great opportunity to tackle a unique set of problems while shaping the future of healthcare. 

RESPONSIBILITIES

• Collaborate with external investigators to establish clinical data workflows for established and emerging studies.
• Establish and maintain tools to ingest, harmonize, and make available for research use, clinical data for multiple large-scale patient collections.
• Analyze structured and unstructured clinical records data to define phenotypes for genetic association analyses and related activities.
• Translate best-in-class and in-house developed methods into hardened workflows and systems. 
• Distribute tools and results through software and publications.
• Work in close peer-to-peer collaboration with colleagues in the organization on genomic discovery, validation, and target evaluation.
• Communicate findings and articulate platform requirements with internal and external stakeholders.

QUALIFICATIONS

• Masters, PhD, or equivalent in bioinformatics, clinical informatics, or a related field.
• 2-5 years of relevant work experience post-degree. Some industry experience preferred.
• Familiarity with clinical data standards (ICD9/10, SNOMED, LOINC, etc.) and their uses in EHR systems.
• Experience collaborating with clinicians, biologists, and quantitative researchers in the definition of clinical phenotypes for genetic association analyses and related discovery analyses. Hands-on experience modeling research phenotypes from large scale EHR- derived datasets such as UKB highly desired. 
• Strong intuitive familiarity with statistical methods relevant to clinical data and related genetic association analyses (e.g., regression modeling, modeling with missing data, and multiple hypothesis testing).
• Experience with statistical software (e.g., R, pandas, sklearn), scripting languages (e.g., Python), and database languages (e.g., SQL).
• Expertise in data management and analysis in distributed computing environments using Scala/Spark framework.
• Excellent oral and written communication skills.
• Ability and desire to work in a fast-paced, interactive, and fluid environment in a multidisciplinary team focused on therapeutically-relevant genomic discovery.

WE ARE AN EQUAL OPPORTUNITY EMPLOYER. WE THRIVE ON DIVERSITY AND COLLABORATION.